Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values. - Ying Yang; Jian Kang 003 (Comput. Stat. Data Anal., 2010)

AbCD: arbitrary coverage design for sequencing-based genetic studies. - Jian Kang 003; Kuan-Chieh Huang; Zheng Xu 010; Yunfei Wang; Gonçalo R. Abecasis; Yun Li (Bioinform., 2013)

A Bayesian Model of Category-Specific Emotional Brain Responses. - Tor D. Wager; Jian Kang 003; Timothy D. Johnson; Thomas E. Nichols; Ajay B. Satpute; Lisa Feldman Barrett (PLoS Comput. Biol., 2015)

Bayesian network feature finder (BANFF): an R package for gene network feature selection. - Zhou Lan; Yize Zhao; Jian Kang 003; Tianwei Yu (Bioinform., 2016)

A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs. - Jian Kang 003; F. DuBois Bowman; Helen S. Mayberg; Han Liu (NeuroImage, 2016)

Identifying Activation Centers with Spatial Cox Point Processes Using fMRI Data. - Meredith Ray; Jian Kang 003; Hongmei Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

High-dimensional tests for functional networks of brain anatomic regions. - Jichun Xie; Jian Kang 003 (J. Multivar. Anal., 2017)

Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations. - Zhuxuan Jin; Jian Kang 003; Tianwei Yu (Bioinform., 2018)

Estimating large covariance matrix with network topology for high-dimensional biomedical data. - Shuo Chen; Jian Kang 003; Yishi Xing; Yunpeng Zhao; Donald K. Milton (Comput. Stat. Data Anal., 2018)

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. - Yize Zhao; Jian Kang 003; Qi Long (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Adaptive Sequence-Based Stimulus Selection in an ERP-Based Brain-Computer Interface by Thompson Sampling in a Multi-Armed Bandit Problem. - Tianwen Ma; Jane E. Huggins; Jian Kang 003 (BIBM, 2021)

Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data. - Leqi Tian; Zhenjiang Li; Guoxuan Ma; Xiaoyue Zhang; Ziyin Tang; Siheng Wang; Jian Kang 003; Donghai Liang; Tianwei Yu (Bioinform., 2022)

Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning. - Tianyu Zhan; Jian Kang 003 (J. Comput. Graph. Stat., 2022)

The impact of sociality and affective valence on brain activation: A meta-analysis. - Shir Atzil; Ajay B. Satpute; Jiahe Zhang; Michael H. Parrish; Holly Shablack; Jennifer K. MacCormack; Joseph Leshin; Srishti Goel; Jeffrey A. Brooks; Jian Kang 003; Yuliang Xu; Matan Cohen; et al. (NeuroImage, 2023)

Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes. - Guoxuan Ma; Jian Kang 003; Tianwei Yu (Briefings Bioinform., 2024)

Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19. - Wenbo Wu; John D. Kalbfleisch; Jeremy M. G. Taylor; Jian Kang 003; Kevin He (J. Comput. Graph. Stat., 2024)

Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior. - Yuliang Xu; Jian Kang 003 (ICLR, 2025)

Dissecting genetic regulation of metabolic coordination. - Emily C. Hector; Daiwei Zhang; Leqi Tian; Junning Feng; Xianyong Yin; Tianyi Xu; Markku Laakso; Yun Bai; Jiashun Xiao; Jian Kang 003; Tianwei Yu (Briefings Bioinform., 2025)